Single-User MIMO and Multi-User MIMO Detection Algorithms with MATLAB Implementations

This article presents detection algorithms for both single-user MIMO and multi-user MIMO systems. The implementations include MATLAB code for various detection methods such as Maximum Likelihood (ML) detection and Minimum Mean Square Error (MMSE) detection, featuring detailed algorithm explanations and key function descriptions. Additionally, the core program structure for MIMO-OFDM systems is provided, demonstrating practical implementation approaches for signal processing chains. These resources are designed to help you better understand and apply MIMO technologies in practical scenarios, with code examples that illustrate optimal detection strategies and performance considerations for different MIMO configurations. The MATLAB implementations feature comprehensive commenting and modular design, allowing users to easily modify parameters and test different antenna configurations. The ML detection implementation demonstrates exhaustive search methods for optimal performance, while the MMSE detection shows computationally efficient approaches with linear processing. The MIMO-OFDM program integrates orthogonal frequency-division multiplexing with MIMO techniques, showcasing how to handle frequency-selective channels in multi-antenna systems.